Unattended monitoring system based on edge computing

Chun Liu; Zihao Pei

doi:10.1117/12.2652234

10 November 2022 Unattended monitoring system based on edge computing

Chun Liu, Zihao Pei

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123314M (2022) https://doi.org/10.1117/12.2652234
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

With the geometric increase in the number of surveillance cameras and the sharp increase in video data, the traditional monitoring method that only relies on manual real-time viewing of surveillance information needs to be changed. The unattended system is an intelligent monitoring system that does not require a lot of manual intervention. It can automatically detect specific targets in the video and alert the staff through early warning. This paper designs a set of the simplified neural network combined with an unattended platform on the edge computing end. Through the optimization, compression, and conversion of the neural network model, the NPU is used to accelerate the realization of fast and accurate target detection, early warning and data return at the mobile edge.

Citation Download Citation

Chun Liu and Zihao Pei "Unattended monitoring system based on edge computing", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123314M (10 November 2022); https://doi.org/10.1117/12.2652234

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